mixed_model_finetuned_iemocap

Yassmen/mixed_model_finetuned_iemocap

mixed_model_finetuned_iemocap is a machine learning model from Yassmen. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

Access

Public

Updated Aug 17, 2024

Parameters

402M

14.5 GB on disk

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Public

Hugging Face

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At a glance

Access: Public
Created: Aug 9, 2024
Updated: Aug 17, 2024
SHA: 744f71ac

Model card

From the Hugging Face model README

mixed_model_finetuned_iemocap

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9700
Accuracy: 0.6763
F1: 0.6730
Recall: 0.6763
Precision: 0.6733

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 1467
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Recall	Precision
0.72	0.9990	733	1.0095	0.6443	0.6369	0.6443	0.6469
0.5228	1.9993	1467	0.9700	0.6763	0.6730	0.6763	0.6733

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1

Created: Aug 9, 2024
Updated: Aug 17, 2024